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Add OCI Data Science Model Deployment Embedding Integration #17243
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Check out this pull request on See visual diffs & provide feedback on Jupyter Notebooks. Powered by ReviewNB |
Hi @logan-markewich, I wanted to kindly ask for your help with the review of this PR. The changes introduce integration for invoking Embedding models on OCI Data Science, and I’d greatly appreciate your feedback and insights. Additionally, I’ve encountered an issue with failing tests during the CI pipeline due to the absence of the oracle-ads library, despite it being listed in the When you have time, could you please take a look at this and share your thoughts on what might be causing this discrepancy? Your guidance would be incredibly helpful. Thank you in advance for your time and support! |
@mrDzurb seems like pants doesn't want to install this. I think our CICD is missing some system level dependency. Might take some time to figure out whats going on |
Hi @logan-markewich, thanks for taking a look on this.
However, the tests for Python 3.10, 3.11, and 3.12 are still failing, but for a different reason. Maybe just restarting the tests will help. The logs don't give any clues what is failing. |
pants is hiding the true error it seems -- probably some system level issue, or an issue with some tricky dependency that needs a particular c compiler or something. Maybe I'll just disable tests for all but python 3.9 |
Description
Oracle Cloud Infrastructure (OCI) Data Science is a fully managed, serverless platform for data science teams to build, train, and manage machine learning models in Oracle Cloud Infrastructure. his PR introduces a new embedding integration with Oracle Cloud Infrastructure (OCI) Data Science Model Deployment endpoints. The integration allows generating text embeddings asynchronously or synchronously, leveraging the OCI Signer for authentication.
llama_index_test_base.pdf
New Package?
Did I fill in the
tool.llamahub
section in thepyproject.toml
and provide a detailed README.md for my new integration or package?Version Bump?
Did I bump the version in the
pyproject.toml
file of the package I am updating? (Except for thellama-index-core
package)Type of Change
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How Has This Been Tested?
Suggested Checklist:
make format; make lint
to appease the lint gods